An Adaptive Fingerprint Image Segmentation Algorithm Based on Multiple Features

摘要：

Fingerprint image segmentation heavily influences the performance of fingerprint verification systems. In recent years, some new methods have been introduced to the image segmenting processing in order to get better disposal results. And most of the proposed algorithms are based on threshold segmentation. In this paper, a novel approach is put forward to segment fingerprint images based on multiple features. It makes use of local and global features to determine block threshold adaptively without the experience. Meanwhile, the algorithm combines the point level segmentation with tbe block level segmentation in order that it could be capable of avoiding the appearance of the blocking effect of the foreground image edges at a low computational cost. The performance of the new algorithm is evaluated on FVC2004 database. Experiment results show that the proposed adaptive segmentation algorithm is effective and robust.

关键词： fingerprint segmentation threshold local and global features blocking effect

作者: Shaole Zhang Xiaojun Jing Bo Zhang Songlin Sun

作者单位: School of information and communication engineering,Beijing University of Posts and Telecommunications

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 191-194

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）